6533b82dfe1ef96bd1291dde

RESEARCH PRODUCT

Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

Ilkka KivirantaVille PäivärinneHannu KautiainenAri Heinonen

subject

MaleTime Factorselämänlaatu0302 clinical medicineQuality of lifeSITTING TIMEOrthopedics and Sports Medicine030212 general & internal medicineYoung adultFinlandPOPULATIONeducation.field_of_studyexercisepublic healthta3141ta3142ASSOCIATIONSitting timehumanitiesLinear relationshipMETmiehetHEALTHfyysinen aktiivisuusAdultyoung adultsCOUNTRIESmedicine.medical_specialtySF-36PopulationPhysical activitymenPhysical Therapy Sports Therapy and Rehabilitationphysical activeness03 medical and health sciencesYoung AdultSF-36medicineHumansVALIDITYeducationMETAANALYSISSedentary lifestyle030203 arthritis & rheumatologynuoret aikuisetbusiness.industryMORTALITYquestionnaires3126 Surgery anesthesiology intensive care radiologyHealth SurveysACTIVITY QUESTIONNAIRE IPAQCross-Sectional Studiesquality of lifePhysical therapySedentary BehaviorbusinessDemography

description

Purpose To assess the relationship between physical activity (PA) in work, transport, domestic and leisure-time domains (with sitting time included) and health-related quality of life (HRQoL) among young adult men. Methods The long version of IPAQ and SF-36 Health Survey were used to assess PA and HRQoL, respectively, in 1425 voluntary 20 to 40 year old Finnish male participants. Participants were divided into tertiles (MET-h/week): Lowest tertile ( 100 MET-h/week). Results The IPAQ domain leisure-time PA predicted positively the Physical Component Summary (PCS) (β=0.11, 95% CI: 0.06 to 0.16) and Mental Component Summary (MCS) (β=0.11, 95% CI: 0.05 to 0.16) dimensions. Occupational PA predicted negative relationships in the PCS (β=-0.13, 95% CI: -0.19 to -0.07), and sitting time predicted negative relationships in MCS dimension (β=-0.13, 95% CI: -0.18 to -0.07). In addition, a linear relationship was found between total PA level (including sitting time) and all of the IPAQ domains (<0.001). Middle tertile had the highest leisure-time PA (38% of total PA), whereas the highest sitting time (28%) and lowest occupational PA (8%) were found in the lowest tertile. Highest tertile had the highest occupational PA (61%), while the leisure-time PA was the lowest (16%). Conclusions Different PA domains appear to have positive and negative relationships to mental and physical aspects of HRQoL. Relatively high leisure-time PA indicated a better HRQoL regardless of the amount of total PA, while occupational PA and higher daily sitting time related negatively to HRQoL. This article is protected by copyright. All rights reserved.

10.1111/sms.13003http://hdl.handle.net/10138/233775